摘要
电信网络诈骗是典型的非接触式犯罪,防控工作应侧重对受害人特征的分析。现有研究成果多为针对受害人单一特征进行的研究,且依赖案件数量较少,难以全面深入反映特征规律,应用性较弱。文章将电信网络诈骗受害人的自身特征与案件特征作为指标构造贝叶斯网络,建立受害人特征分析模型,进而从案件类型出发,分析易受骗人群;从特征人群出发,分析受骗类型。
As a typical non-contact crime, the prevention and control of telecom network fraud emphasizes the combing and analysis of the characteristics of victims. However, most of the existing research results are carried out for the single characteristics of victims, and rely on a small number of cases, which is difficult to fully and deeply reflect the characteristics and laws, and the application is weak. This paper took the self characteristics and case characteristics of telecom network fraud victims as indicators, constructs Bayesian network and establishes victim characteristic analysis model. Then, starting from the types of cases, this paper discussed the vulnerable groups. Starting from the characteristic population, this paper expounds its gullible types.
作者
罗文华
张耀文
LUO Wenhua;ZHANG Yaowen(Criminal Investigation Police University of China,Shenyang 110035,China)
出处
《信息网络安全》
CSCD
北大核心
2021年第12期25-30,共6页
Netinfo Security
基金
辽宁省科学规划基金重点项目[L21AFX006]。
关键词
电信网络诈骗
贝叶斯网络
受害人特征
实证分析
telecom network fraud
Bayesian network
characteristics of victims
empirical analysis
